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Aim at the actual complicacy and difficulty of controlling strength content in sinter, a 3-layer artificial neural network model with multi input factors has been set up in this work that provide a new method for strength content control in production field. The network has reasonable construction, high accuracy and strong generalization ability. The predicted results coincide with the experimental...
Spatial data mining is to extract implicit knowledge, spatial relations as well as other non-explicitly information which included in the spatial database but it exist with other model from the spatial database. Due to the complexity of spatial data and its application of the professional, and it gives challenges to spatial data mining. In the paper, the characteristics of spatial datum were analyzed,...
Based on the investigation of impact on products composition of alloy additions in converter smelting process, a neural network model is established for the influence in this paper. Using BP neural network theory, select the actual production data as training samples and the main elements of alloy additions as input data. There are 4 layers in this model, namely input layer, hidden layer and output...
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